Llama 4 Scout vs Mistral Medium 3.1
We don't benchmark Llama 4 Scout or Mistral Medium 3.1 on Vision Evals. Llama 4 Scout is open-weight under Custom. Mistral Medium 3.1 is proprietary under Proprietary: commercial use per vendor terms. Llama 4 Scout is cheaper per token ($0.10/M vs $0.40/M input). Test them side by side on your own images below.
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Llama 4 Scout vs Mistral Medium 3.1 Comparison Table
Pricing updated November 10, 2026
| Property | Llama 4 Scout | Mistral Medium 3.1 |
|---|---|---|
| Organization | Meta | Mistral |
| Category | open | closed |
| Modality | multimodal | multimodal |
| Release Date | Apr 2025 | Aug 2025 |
| Context Window | 10.0M | 128K |
| Parameters | 109B | Unknown |
| License | Custom | Proprietary |
| Commercial use | See license terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | $0.100 | $0.400 |
| Output $/1M | $0.300 | $2.00 |
| Vision Tasks | ||
| Object Detection | Supported | Not listed |
| Model Features | ||
Both support 3 more features | ||
Llama 4 Scout vs Mistral Medium 3.1: Overview
Llama 4 Scout, released on April 5, 2025, is one of Meta AI’s first Llama 4 multimodal models, alongside Maverick. It accepts text + image inputs and produces text outputs, with a knowledge cutoff of August 2024. Scout is notable for its extremely large context window of 10 million tokens, making it well-suited for analyzing very long documents, extended conversations, or large codebases.
Architecturally, Scout uses a Mixture-of-Experts (MoE) system with 16 experts, activating ~17B parameters per inference from a pool of ~109B total parameters, balancing capacity with efficiency. It officially supports 12 languages (including English, Arabic, French, Hindi, and Spanish), while offering multimodal reasoning for images (captioning, Q&A, recognition). Meta highlights that Scout can run on a single Nvidia H100 GPU, making it more accessible than larger-scale Llama 4 models. However, its output token limit is far smaller than its 10M input window, image input support is still constrained, and license restrictions apply for large-scale commercial deployments.
Mistral Medium 3.1, released in August 2025 as the mistral-medium-2508 update, is a proprietary frontier model from Mistral AI positioned between smaller open models and high-end closed LLMs. It is multimodal, handling both text and image inputs, with a context window of ~128K tokens.
Compared to Mistral Medium 3.0, the 3.1 release introduces improvements in reasoning, coding, STEM, and enterprise workflows, along with better tone control for conversational and business applications. It is designed for scalable enterprise deployments, including hybrid cloud and on-premises VPC setups. As part of Mistral’s Premier line, Medium 3.1 is a commercial-only offering: while it delivers strong accuracy and performance, trade-offs include higher costs than open-weight models, restricted fine-tuning access, and increased latency/cost for very large contexts.